Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. - Yijun Zhao; Tong Wang; Riley Bove; Bruce Cree; Roland Henry; Hrishikesh Lokhande; Mariann Polgar-Turcsanyi; Mark Anderson; Rohit Bakshi; Howard L. Weiner; Tanuja Chitnis (npj Digit. Medicine, 2020)

Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. - Yijun Zhao; Tong Wang; Riley Bove; Bruce Cree; Roland Henry; Hrishikesh Lokhande; Mariann Polgar-Turcsanyi; Mark Anderson; Rohit Bakshi; Howard L. Weiner; Tanuja Chitnis (npj Digit. Medicine, 2020)

A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. - Sergio E. Baranzini; Katy Börner; John H. Morris; Charlotte A. Nelson; Karthik Soman; Erica Schleimer; Michael J. Keiser; Mark A. Musen; Roger Pearce; Tahsin Reza; Brett Smith; Bruce William Herr II; et al. (AI Mag., 2022)

Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis. - Charlotte A. Nelson; Riley Bove; Atul J. Butte; Sergio E. Baranzini (J. Am. Medical Informatics Assoc., 2022)

Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning. - Julia Cluceru; Janine M. Lupo; Yannet Interian; Riley Bove; Jason C. Crane (J. Digit. Imaging, 2023)